Medical Imaging ePosters

Recognizing the causes of ischemic stroke is crucial for defining secondary preventive strategies. Etiology-based classification systems integrate clinical, imaging, and laboratory findings to assign stroke etiology[1-4]. However, this requires significant time and resources, and these systems still fail to assign…

Transcranial direct current stimulation (tDCS) has proven to be effective in reducing the seizure frequency in patients with epilepsy. This therapy greatly benefits from designing personalized electrode montages (electrode positions and currents) that target the appropriate areas of the brain. In the state-of-the-art…

Advancing therapies for neurological disorders relies on developing efficient, personalized whole-brain models that can capture mechanistic insights and pathological features. Current challenges in creating such computational models arise from managing a considerable number of adjustable parameters. The conventional…

White matter (WM) tracts shape the brain’s dynamical activity, and their damage (e.g., disconnections) results in functional alterations and cognitive symptoms [1]. Here, we use neural mass modeling to test the in-vivo effects of WM disconnections [2]. We create models of local versus global, and edge versus nodal…

Exploratory behaviors are crucial to the adaptation of organisms to uncertain environments. Human neuroscience studies have implicated the intraparietal sulcus (IPS), anterior cingulate cortex (ACC), and medial prefrontal cortex (mPFC) in exploratory behaviors. However, the roles of these regions in signaling specific…

Recent meta-analyses indicate that non-neurobiological treatments for mental disorders, such as psychotherapy, demonstrate variable success rates ranging from 30% to 60% [Munder et al., 2019] . However, there is no consensus on the theoretical upper limit of these treatments [Cuijpers et al., 2024]. This study aims to…

Background: The balance of excitation and inhibition (E-I) is a key functional property of cortical microcircuits [1] which changes through lifespan. Adolescence is considered a crucial period for the maturation of E-I balance [2,3]. This has been primarily observed in animal studies, and human in vivo evidence on…

A growing number of neuroimaging tools are being developed to enable data analysis in a more tool-independent manner when analyzing three- and four-dimensional brain imaging data in various statistical settings. Ideally, such tools still offer user interfaces that are accessible to those with a basic understanding of…

Introduction. There exists no method for non-invasive imaging of neural activity throughout the brain with a millisecond and millimetre resolution. EIT can theoretically achieve this by injecting a constant current with surface electrodes, measuring the voltage change associated with neural depolarization and…

There is currently a paucity of neuroimaging data from the African continent, limiting the diversity of data from a significant proportion of the global population. This in turn diminishes global health research and innovation. To address this issue, we present and describe the first Magnetic Resonance Imaging (MRI)…

Deep anaesthetisation is an important surgical and explorative tool in the study of consciousness. Much work has been done to connect the deeply anaesthetised condition with decreased functional complexity. However, anaesthesia-induced unconsciousness is also a dynamic condition in which functional activity and…

Accurate localization of EEG scalp electrodes is crucial for precisely estimating the underlying neuronal activity from observed electrical potential changes on the scalp. Various techniques for electrode localization have been proposed, categorized into direct measurements on the subject's head or indirect methods…

CYP2C19 is mainly, a liver enzyme that metabolizes psychotropic compounds, however, it is also expressed in the fetal brain. Transgenic knock-in mice carrying the human CYP2C19 gene show the same expression pattern of this enzyme as humans. This study aims to characterize the motor function and brain morphological…

Recently, the self has become an important focus of conscious mind research. Neuroimaging studies reveal that the self emerges from the spontaneous activity of cortical midline structures (CMS). Prefrontal cortex structures are also mentioned prominently in consciousness theories such as higher-order and global…

How does the organization of neural information processing enable humans’ sophisticated cognition? Here we decompose functional interactions between brain regions into synergistic and redundant components, revealing their distinct information-processing roles. Combining functional, structural, and diffusion-weighted…

Schizophrenia is considered to be a complex illness with multiple pathways contributing to its clinical phenotype and is argued to be a disorder of disrupted brain network organization. Structural covariance in schizophrenia indicates a system-level brain maturation disruption overlapping with patterns of disturbed…

INTRODUCTION Graph theory is a state of the art approach to assess functional connectivity (FC) disruption in neurological disorders. However, this methodology does not allow distinction between positive and negative FC correlations; negative correlations, or anticorrelations, are usually either discardes or taken as…

The generating mechanism for the gyrification of the mammalian cerebral cortex remains a central open question in neuroscience. Although many models have been proposed over the years, very few were able to provide empirically testable predictions. In this paper, we assume a model in which the cortex folds for all…

Recent research demonstrated that analyses of neuroimaging data can verify the removal of information from working memory (WM) when it is replaced, suppressed, and cleared completely in the mind compared to when that information is maintained In addition, univariate activation across the brain while someone performed…

Psychotic disorders are characterized by heterogeneity in etiopathology, clinical presentation and individual trajectory, complicating diagnosis and treatment. Despite the increasing amount of studies investigating significant alterations, the mechanisms underlying the emergence and progression of these disorders…

Human brain is the most dynamic and varied system of the body. The brain is composed of neuron and glia. But how do they interact to generate emergent properties like memory, learning, emotion and sleep is little understood. Many such complex systems that exist in non-linear dynamics are characterized by the fractal…

Mild traumatic brain injury (mTBI), also referred to as concussion, is a common yet incompletely understood condition of the central nervous system. While traditionally considered to be limited in scope and self-resolving, recent studies point to a much more insidious nature of the injury that can continue to evolve…

The understanding of the stroke lesions’ consequences is limited, and it relies mostly on behavioral reports and mere descriptive correlational information from neuroimaging techniques. Using functional magnetic resonance imaging, it has been shown that the functional synchronization between distinct regions of the…

Elucidating the neural basis of cognition requires incorporating cognitive models into the modelling of neural data. A prevalent strategy in neuroimaging is to fit computational models of cognition to concurrent behavior, and then regress the latent variables of those models onto fMRI data. Though widely used, this…